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Results:

• 11. Lawrence_Deborah_CES_2010

  areas from 3 to 15,000 km2 3 GCM/RCMs (with SRES A1B emissions) Echam5/HIRHAM5 BCM/RCA3 HadCM3Qref/HIRHAM 2 Methods for transferring RCM output to 1 x 1 km grid Delta change Empirical adjustment method (met.no) 25 calibrated hydrological models for 115 catchments Flood frequency analysis for 200-year flood ⇒ Construct pdfs from 150 results for each catchment Viksvatn (Hestadfjord) - 83.2 IS92a /media/ces/Lawrence_Deborah_CES_2010.pdf

• 12. CES_D2.4_solar_CMIP3

  the A1B scenario. In the panels for winter and autumn, contour interval is 25 MJ m−2, in those for spring and summer 50 MJ m−2. The colour scale is the same in all panels. Fig. A5. The absolute insolation change under the A2 scenario. 11 Fig. A6. The absolute insolation change under the B1 scenario. 12 (B) TIME SERIES Fig. A7 shows the time series of seasonal changes in incident radiation /media/ces/CES_D2.4_solar_CMIP3.pdf

• 13. Lettenmaier_Dennis_CES_2010pdf

  ) Colorado River basin C) Washington climate change impacts assessment – Yakima River basin 3a) Hydrology and water management implications: Columbia River Basin PCM Business-as-Usual scenarios Columbia River Basin (Basin Averages) control (2000-2048) historical (1950-99) BAU 3-run average PCM Business-As- Usual Mean Monthly Hydrographs Columbia River Basin @ The Dalles, OR 1 month /media/ces/Lettenmaier_Dennis_CES_2010pdf.pdf

• 14. vanRoosmalen_etal-2009-WRR_2007WR006760

  and Irrigationa Scenario Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Current 101 85 59 13
  6
  4
  1 6 39 79 84 97 A2 145 132 73 10
  10
  7
  6
  8 4 75 92 123 B2 137 119 75 16
  6
  6
  6
  5 21 74 110 141 aValues are in millimeters. 10 of 18 W00A15 VAN ROOSMALEN ET AL.: CLIMATE AND LAND USE CHANGE W00A15 time and larger area where groundwater levels rise above the drain levels. Table 6 shows the mean discharges /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 15. Water_resources_man_Veijalainen_etal

  range 90% 93.15–93.29 93.27–93.36 75.43–75.56 94.59–94.71 2040–2069 range 90% 93.09–93.31 93.28–93.40 75.41–75.56 94.72–94.83 2070–2099 range 90% 93.02–93.32 93.24–93.43 75.38–75.61 94.79–94.91 Lowest water level (in the 30 year period) (m) Reference period 92.86 92.72 75.20 94.27 2010–2039 range 90% 92.62–92.91 92.96–93.13 75.24–75.33 94.47–94.59 2040–2069 range 90% 92.55–92.82 92.88–93.12 75.19 /media/ces/Water_resources_man_Veijalainen_etal.pdf

• 16. Kok_et_al._TFSC_published_2011

  ]. There is ample experience with backcasting, and consequently much has been said about the underlying principles (e.g. [20]), the methodological 838 K. Kok et al. / Technological Forecasting & Social Change 78 (2011) 835–851 Author's personal copy framework (e.g. [8,30–32]), and practical applications (e.g. [33–35]). Also the combination between backcasting and other types of scenarios has been /media/loftslag/Kok_et_al._TFSC_published_2011.pdf

• 17. ces-glacier-scaling-memo2009-01

  difference between the band and the maximum altitude of the glaciers ymax Dgi = ri gi ; ri = DSa2 (ymax yi) nj=1(ymax y j)g j : (12) The second step is carried out after the lowest glaciated elevation bands have been altered by the reduction in the glaciated area at the lowest altitudes. This procedure to distribute the reduction in glaciated area with altitude is clearly quite crude /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 18. ces-oslo2010_proceedings

  change over the North Atlantic and in some simulations also for Iceland. In all areas, including the North Atlantic and Iceland, a clear climate change signal compared to the spread between the simulations is seen. The standard deviation calculated from 17 of the simulations are less than 1°C in all areas apart from Iceland where it reaches between 1 and 2°C and in parts of the Barents Sea where /media/ces/ces-oslo2010_proceedings.pdf

• 19. Publications

  Arctic Climate Impact Assessment (ACIA) AMAP Report 2004:4. [Extended abstract] Snorrason, Á., & Jónsdóttir, J. F. (2004). Climate, Water and Renewable Energy in the Nordic Countries. Presented at the Joint Assembly, a partnership between CGU, AGU, SEG and EEGS, Montreal, Canada, May 17-21. [Abstract] Snorrason, Á., & Jónsdóttir, J. F. (2004). Impacts of climate change on renewable energy /climatology/research/ce/publications/

• 20. CES_D2.4_task1

  1 Abstract The operational description of climate has been traditionally based on past observations, using a 30-year normal period such as 1961-1990. In a world with ongoing anthropogenic climate change, however, past data give a potentially biased estimate of the actual present-day and near-future climate. Here we attempt to correct this bias with a “delta change” method, in which /media/ces/CES_D2.4_task1.pdf